Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises

Jin Xin; Chen Song; Xie Fuji; Lu Zexia

doi:doi:10.11648/j.sjbm.20180604.11

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Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises

Jin Xin, Chen Song, Xie Fuji, Lu Zexia

Published in Science Journal of Business and Management (Volume 6, Issue 4)

Received: 28 September 2018 Accepted: 20 November 2018 Published: 20 December 2018

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Abstract

How to enhance enterprise’s innovation performance is an important problem which is well worth thinking when the knowledge-based economy is opening up increasingly today. Taking the knowledge-intensive service enterprises as the example, we have made empirical study on how the different dimensions of dynamic capabilities, namely, sensing capability, learning capability and reconfiguring capability, affect the innovation performance of both exploration and exploitation. This study constructs and verifies a model of multi-dimensional dynamic capabilities to innovation performance using exploratory factor analysis and regression analysis. Result shows that enhancing any of sensing capability and learning capability in dynamic capabilities helps improve enterprises’ exploratory and exploitative innovation performance. Sensing capability and learning capability affect exploratory innovation performance more than exploitative innovation performance. Reconfiguring capability plays a positively significant regulating role in the relationship between sensing capability and exploratory innovation performance. Therefore, when enhancing the innovation performance, a knowledge-intensive service enterprise should not only make efforts to cultivate the sensing capability for technology and market and learning capability for external knowledge, but also enhance reconfiguring capability for both of internal and external resources to form the foundation for future competiveness. This study contributes to previous research by showing how sensing capability and learning capability affect the various dimensions of innovation performance under the regulating effects of reconfiguring capability in dynamic capabilities.

Published in	Science Journal of Business and Management (Volume 6, Issue 4)
DOI	10.11648/j.sjbm.20180604.11
Page(s)	81-92
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Dynamic Capabilities, Innovation Performance, Knowledge-intensive Service Enterprises, Multi-dimensional Influence

References

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APA Style

Jin Xin, Chen Song, Xie Fuji, Lu Zexia. (2018). Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises. Science Journal of Business and Management, 6(4), 81-92. https://doi.org/10.11648/j.sjbm.20180604.11

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ACS Style

Jin Xin; Chen Song; Xie Fuji; Lu Zexia. Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises. Sci. J. Bus. Manag. 2018, 6(4), 81-92. doi: 10.11648/j.sjbm.20180604.11

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AMA Style

Jin Xin, Chen Song, Xie Fuji, Lu Zexia. Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises. Sci J Bus Manag. 2018;6(4):81-92. doi: 10.11648/j.sjbm.20180604.11

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@article{10.11648/j.sjbm.20180604.11,
  author = {Jin Xin and Chen Song and Xie Fuji and Lu Zexia},
  title = {Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises},
  journal = {Science Journal of Business and Management},
  volume = {6},
  number = {4},
  pages = {81-92},
  doi = {10.11648/j.sjbm.20180604.11},
  url = {https://doi.org/10.11648/j.sjbm.20180604.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20180604.11},
  abstract = {How to enhance enterprise’s innovation performance is an important problem which is well worth thinking when the knowledge-based economy is opening up increasingly today. Taking the knowledge-intensive service enterprises as the example, we have made empirical study on how the different dimensions of dynamic capabilities, namely, sensing capability, learning capability and reconfiguring capability, affect the innovation performance of both exploration and exploitation. This study constructs and verifies a model of multi-dimensional dynamic capabilities to innovation performance using exploratory factor analysis and regression analysis. Result shows that enhancing any of sensing capability and learning capability in dynamic capabilities helps improve enterprises’ exploratory and exploitative innovation performance. Sensing capability and learning capability affect exploratory innovation performance more than exploitative innovation performance. Reconfiguring capability plays a positively significant regulating role in the relationship between sensing capability and exploratory innovation performance. Therefore, when enhancing the innovation performance, a knowledge-intensive service enterprise should not only make efforts to cultivate the sensing capability for technology and market and learning capability for external knowledge, but also enhance reconfiguring capability for both of internal and external resources to form the foundation for future competiveness. This study contributes to previous research by showing how sensing capability and learning capability affect the various dimensions of innovation performance under the regulating effects of reconfiguring capability in dynamic capabilities.},
 year = {2018}
}

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TY  - JOUR
T1  - Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises
AU  - Jin Xin
AU  - Chen Song
AU  - Xie Fuji
AU  - Lu Zexia
Y1  - 2018/12/20
PY  - 2018
N1  - https://doi.org/10.11648/j.sjbm.20180604.11
DO  - 10.11648/j.sjbm.20180604.11
T2  - Science Journal of Business and Management
JF  - Science Journal of Business and Management
JO  - Science Journal of Business and Management
SP  - 81
EP  - 92
PB  - Science Publishing Group
SN  - 2331-0634
UR  - https://doi.org/10.11648/j.sjbm.20180604.11
AB  - How to enhance enterprise’s innovation performance is an important problem which is well worth thinking when the knowledge-based economy is opening up increasingly today. Taking the knowledge-intensive service enterprises as the example, we have made empirical study on how the different dimensions of dynamic capabilities, namely, sensing capability, learning capability and reconfiguring capability, affect the innovation performance of both exploration and exploitation. This study constructs and verifies a model of multi-dimensional dynamic capabilities to innovation performance using exploratory factor analysis and regression analysis. Result shows that enhancing any of sensing capability and learning capability in dynamic capabilities helps improve enterprises’ exploratory and exploitative innovation performance. Sensing capability and learning capability affect exploratory innovation performance more than exploitative innovation performance. Reconfiguring capability plays a positively significant regulating role in the relationship between sensing capability and exploratory innovation performance. Therefore, when enhancing the innovation performance, a knowledge-intensive service enterprise should not only make efforts to cultivate the sensing capability for technology and market and learning capability for external knowledge, but also enhance reconfiguring capability for both of internal and external resources to form the foundation for future competiveness. This study contributes to previous research by showing how sensing capability and learning capability affect the various dimensions of innovation performance under the regulating effects of reconfiguring capability in dynamic capabilities.
VL  - 6
IS  - 4
ER  -

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Author Information

Jin Xin

School of Economics and Management, Shanghai Maritime University, Shanghai, China
Chen Song

School of Economics and Management, Tongji University, Shanghai, China
Xie Fuji

Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China
Lu Zexia

Department of Computer Science and Statistical Science, University of Toronto, Toronto, Canada

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Plain Text BibTeX RIS

APA Style

Jin Xin, Chen Song, Xie Fuji, Lu Zexia. (2018). Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises. Science Journal of Business and Management, 6(4), 81-92. https://doi.org/10.11648/j.sjbm.20180604.11

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ACS Style

Jin Xin; Chen Song; Xie Fuji; Lu Zexia. Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises. Sci. J. Bus. Manag. 2018, 6(4), 81-92. doi: 10.11648/j.sjbm.20180604.11

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AMA Style

Jin Xin, Chen Song, Xie Fuji, Lu Zexia. Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises. Sci J Bus Manag. 2018;6(4):81-92. doi: 10.11648/j.sjbm.20180604.11

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@article{10.11648/j.sjbm.20180604.11,
  author = {Jin Xin and Chen Song and Xie Fuji and Lu Zexia},
  title = {Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises},
  journal = {Science Journal of Business and Management},
  volume = {6},
  number = {4},
  pages = {81-92},
  doi = {10.11648/j.sjbm.20180604.11},
  url = {https://doi.org/10.11648/j.sjbm.20180604.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20180604.11},
  abstract = {How to enhance enterprise’s innovation performance is an important problem which is well worth thinking when the knowledge-based economy is opening up increasingly today. Taking the knowledge-intensive service enterprises as the example, we have made empirical study on how the different dimensions of dynamic capabilities, namely, sensing capability, learning capability and reconfiguring capability, affect the innovation performance of both exploration and exploitation. This study constructs and verifies a model of multi-dimensional dynamic capabilities to innovation performance using exploratory factor analysis and regression analysis. Result shows that enhancing any of sensing capability and learning capability in dynamic capabilities helps improve enterprises’ exploratory and exploitative innovation performance. Sensing capability and learning capability affect exploratory innovation performance more than exploitative innovation performance. Reconfiguring capability plays a positively significant regulating role in the relationship between sensing capability and exploratory innovation performance. Therefore, when enhancing the innovation performance, a knowledge-intensive service enterprise should not only make efforts to cultivate the sensing capability for technology and market and learning capability for external knowledge, but also enhance reconfiguring capability for both of internal and external resources to form the foundation for future competiveness. This study contributes to previous research by showing how sensing capability and learning capability affect the various dimensions of innovation performance under the regulating effects of reconfiguring capability in dynamic capabilities.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises
AU  - Jin Xin
AU  - Chen Song
AU  - Xie Fuji
AU  - Lu Zexia
Y1  - 2018/12/20
PY  - 2018
N1  - https://doi.org/10.11648/j.sjbm.20180604.11
DO  - 10.11648/j.sjbm.20180604.11
T2  - Science Journal of Business and Management
JF  - Science Journal of Business and Management
JO  - Science Journal of Business and Management
SP  - 81
EP  - 92
PB  - Science Publishing Group
SN  - 2331-0634
UR  - https://doi.org/10.11648/j.sjbm.20180604.11
AB  - How to enhance enterprise’s innovation performance is an important problem which is well worth thinking when the knowledge-based economy is opening up increasingly today. Taking the knowledge-intensive service enterprises as the example, we have made empirical study on how the different dimensions of dynamic capabilities, namely, sensing capability, learning capability and reconfiguring capability, affect the innovation performance of both exploration and exploitation. This study constructs and verifies a model of multi-dimensional dynamic capabilities to innovation performance using exploratory factor analysis and regression analysis. Result shows that enhancing any of sensing capability and learning capability in dynamic capabilities helps improve enterprises’ exploratory and exploitative innovation performance. Sensing capability and learning capability affect exploratory innovation performance more than exploitative innovation performance. Reconfiguring capability plays a positively significant regulating role in the relationship between sensing capability and exploratory innovation performance. Therefore, when enhancing the innovation performance, a knowledge-intensive service enterprise should not only make efforts to cultivate the sensing capability for technology and market and learning capability for external knowledge, but also enhance reconfiguring capability for both of internal and external resources to form the foundation for future competiveness. This study contributes to previous research by showing how sensing capability and learning capability affect the various dimensions of innovation performance under the regulating effects of reconfiguring capability in dynamic capabilities.
VL  - 6
IS  - 4
ER  -

Copy | Download